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Compositional Bias in Naïve and Chemically-modified Phage-Displayed Libraries uncovered by Paired-end Deep Sequencing
Bifang He1,2, Katrina F Tjhung1,3,4, Nicholas J Bennett1
1Department of Chemistry and Alberta Glycomics Centre, University of Alberta, Edmonton, AB T6G 2G2, Canada.
Scientific Reports
|January 21, 2018
Summary
Genetically-encoded libraries for ligand discovery show biases during M13KE phage display. Positively charged amino acids and specific residues like Ser/Phe are censored, impacting library diversity and optimization.
Area of Science:
- Biotechnology
- Molecular Biology
- Drug Discovery
Background:
- Genetically-encoded (GE) libraries are crucial for identifying novel ligands.
- Understanding biases within these libraries is essential for successful ligand discovery.
- The M13KE phage display platform is widely used for constructing GE libraries.
Purpose of the Study:
- To investigate biases in GE libraries of tetrapeptides displayed on the M13KE platform.
- To analyze the impact of different library construction stages (synthetic DNA, ligated vector, naive library, chemically modified library) on diversity.
- To identify amino acid censorship arising from phage display and chemical post-translational modification (cPTM).
Main Methods:
- Construction of GE libraries using trinucleotide cassette synthesis and NNK randomization.
- Chemical modification including aldehyde ligation and cysteine macrocyclization.
- Paired-end deep sequencing to characterize library composition at different stages.
Main Results:
- A significant drop in diversity was observed from ligated vector to naive library ({L}→{N}).
- Libraries expressed at the N-terminus of phage protein pIII censored Arg and Lys.
- Expression between pIII domains N1 and N2 reduced Arg/Lys censorship but introduced bias towards Gly and Ser.
- Chemical post-translational modification (cPTM) by aldehyde ligation and cysteine macrocyclization censored Ser and Phe.
Conclusions:
- Phage display and cPTM introduce distinct biases affecting GE library composition.
- Specific expression strategies and cPTM methods can be optimized to mitigate identified biases.
- The analytical approach can be applied to evaluate and enhance diversity in new display platforms and cPTM strategies.
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